SomeTests.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from Pers_utils.Ramp import Ramp\n",
    "from cPers_utils.cPixTraps import cPixTraps as PixTraps\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.cm as cm\n",
    "import numpy as np\n",
    "from Pers_utils.GeneralRandom import GeneralRandom\n",
    "from scipy.stats import beta,powerlaw\n",
    "import time\n",
    "\n",
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width);\n",
       "        canvas.attr('height', height);\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'];\n",
       "    var y0 = fig.canvas.height - msg['y0'];\n",
       "    var x1 = msg['x1'];\n",
       "    var y1 = fig.canvas.height - msg['y1'];\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x;\n",
       "    var y = canvas_pos.y;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
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\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Create test ramps and plot them\n",
    "\n",
    "plt.close(\"all\")\n",
    "\n",
    "myramp1 = Ramp(975,825,4,57*60)\n",
    "myramp1.test_plot(label=r'$975 \\,e^-\\mathrm{s^{-1}}$')\n",
    "\n",
    "myramp2 = Ramp(200,825,4,57*60)\n",
    "myramp2.test_plot(label=r'$200 \\,e^-\\mathrm{s^{-1}}$')\n",
    "\n",
    "myramp3 = Ramp(100,825,4,57*60)\n",
    "myramp3.test_plot(label=r'$100 \\,e^-\\mathrm{s^{-1}}$')\n",
    "\n",
    "myramp4 = Ramp(50,825,4,57*60)\n",
    "myramp4.test_plot(label=r'$ \\;\\;50 \\,e^-\\mathrm{s^{-1}}$')\n",
    "\n",
    "plt.xlim(0,4.75e3)\n",
    "plt.legend()\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width);\n",
       "        canvas.attr('height', height);\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'];\n",
       "    var y0 = fig.canvas.height - msg['y0'];\n",
       "    var x1 = msg['x1'];\n",
       "    var y1 = fig.canvas.height - msg['y1'];\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x;\n",
       "    var y = canvas_pos.y;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Initialize the pixel(s) traps distribution\n",
    "# as a function of accumulated charge \n",
    "# (i.e. this is the density of traps that are exposed to free\n",
    "# charge at a given total charge level)\n",
    "\n",
    "alpha = 2\n",
    "ntraps = 1e5\n",
    "\n",
    "rhotrap_dist = powerlaw(alpha+1,scale=80000)\n",
    "x = np.arange(80000)\n",
    "y = rhotrap_dist.pdf(x)\n",
    "\n",
    "rhotrap = (rhotrap_dist.rvs(size=ntraps)).astype(np.int)\n",
    "plt.close(\"all\")\n",
    "plt.hist(rhotrap,bins=100,normed=True,label='Samples');\n",
    "plt.xlabel('Total charge to expose traps')\n",
    "plt.ylabel('pdf')\n",
    "plt.plot(x,y,label=\"True pdf\",c='r',linewidth=2)\n",
    "plt.legend(loc=2)\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width);\n",
       "        canvas.attr('height', height);\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'];\n",
       "    var y0 = fig.canvas.height - msg['y0'];\n",
       "    var x1 = msg['x1'];\n",
       "    var y1 = fig.canvas.height - msg['y1'];\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x;\n",
       "    var y = canvas_pos.y;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Initialize the pixel(s) traps capture time distribution\n",
    "# assume that release times are proportional to capture times\n",
    "\n",
    "abeta = 1.\n",
    "bbeta = 3.\n",
    "tmin  = 1\n",
    "tmax  = 1e4\n",
    "\n",
    "tcap_dist = beta(abeta,bbeta,loc=tmin,scale=tmax-tmin)\n",
    "x = np.arange(tmin,tmax)\n",
    "y = tcap_dist.pdf(x)\n",
    "\n",
    "tcap = tcap_dist.rvs(size=ntraps)\n",
    "\n",
    "cfacmin = 5\n",
    "cfacmax = 100\n",
    "cfac = np.random.uniform(low=cfacmin,high=cfacmax)\n",
    "trel = tcap*cfac\n",
    "\n",
    "plt.close(\"all\")\n",
    "plt.subplot(121)\n",
    "plt.hist(tcap,bins=50,label='Samples',normed=True);\n",
    "plt.plot(x,y,label='True pdf',c='r',linewidth=2)\n",
    "plt.legend(loc=1)\n",
    "plt.xlabel('Capture time (s)')\n",
    "plt.ylabel('pdf')\n",
    "\n",
    "plt.subplot(122)\n",
    "plt.hist(trel,bins=50,label='Samples',normed=True);\n",
    "plt.plot(cfacmin*x,y/cfacmin,label= (\"%.0f\" %cfacmin)+'* capture time',c='r',linewidth=2)\n",
    "plt.plot(cfacmax*x,y/cfacmax,label= (\"%.0f\" %cfacmax)+'* capture time',c='r',linewidth=2)\n",
    "\n",
    "plt.legend(loc=1)\n",
    "plt.xlabel('release time (s)')\n",
    "plt.ylabel('pdf')\n",
    "\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Use these distributions to initialize the pixel\n",
    "\n",
    "mypixel = PixTraps(tcap,trel,rhotrap)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Elapsed_time (min) 13.446074733333335\n"
     ]
    }
   ],
   "source": [
    "# Test the differential method\n",
    "plt.close(\"all\")\n",
    "\n",
    "times  = np.arange(0,50000,100)\n",
    "tafter = np.arange(0,46500,100)\n",
    "\n",
    "time0 = time.process_time()\n",
    "ramps = [myramp1,myramp2,myramp3,myramp4]\n",
    "\n",
    "ops = []\n",
    "chs = []\n",
    "\n",
    "for ramp in ramps:\n",
    "    mypixel.reset()\n",
    "    ops.append(mypixel.follow_occ_prob(ramp,times))\n",
    "    chs.append(mypixel.get_trapped_charge_diff(ramp,tafter))\n",
    "    \n",
    "el_t = (time.process_time() - time0)/60\n",
    "print('Elapsed_time (min)',el_t)   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width);\n",
       "        canvas.attr('height', height);\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'];\n",
       "    var y0 = fig.canvas.height - msg['y0'];\n",
       "    var x1 = msg['x1'];\n",
       "    var y1 = fig.canvas.height - msg['y1'];\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x;\n",
       "    var y = canvas_pos.y;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
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      ]
     },
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     "output_type": "display_data"
    },
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\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f   = plt.figure()\n",
    "ax1 = f.add_subplot(121)\n",
    "ax2 = f.add_subplot(122)\n",
    "sml   = 10\n",
    "\n",
    "for op,ch,ramp in zip(ops,chs,ramps):\n",
    "    \n",
    "    tp = np.sum(op,axis=0)\n",
    "    x = ax1.plot(times,tp)\n",
    "    color=x[0].get_color()\n",
    "    ax1.plot(tafter+ramp.rtime[-1],ch,'--',color=color)\n",
    "\n",
    "    ################\n",
    "    \n",
    "    dcdt = -1.*(ch[1::sml]-ch[:-1:sml])/(tafter[1::sml]-tafter[:-1:sml])\n",
    "    dtcen = 0.5*(tafter[1::sml]+tafter[:-1:sml])\n",
    "    \n",
    "    offset = ramp.rtime[-1]\n",
    "    \n",
    "    ax2.plot(dtcen,dcdt,color=color)\n",
    " \n",
    "    t0 = 5000\n",
    "    gamma = .75\n",
    "    ii = np.argmin(np.abs(dtcen-t0))\n",
    "    t0 = dtcen[ii]\n",
    "    Ak = dcdt[ii]*(t0**gamma)\n",
    "    \n",
    "    ax2.plot(dtcen,Ak*(dtcen)**(-1.*gamma),'-.',color=color)\n",
    "    \n",
    "ax2.set_yscale('log')\n",
    "ax2.set_xscale('log')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width);\n",
       "        canvas.attr('height', height);\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'];\n",
       "    var y0 = fig.canvas.height - msg['y0'];\n",
       "    var x1 = msg['x1'];\n",
       "    var y1 = fig.canvas.height - msg['y1'];\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x;\n",
       "    var y = canvas_pos.y;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
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\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f = plt.figure()\n",
    "\n",
    "step = 1000\n",
    "\n",
    "for jj,op in enumerate(ops):\n",
    "    \n",
    "    ax1 = f.add_subplot(len(ops),4,1+4*jj)\n",
    "    ax2 = f.add_subplot(len(ops),4,2+4*jj)\n",
    "    ax3 = f.add_subplot(len(ops),4,3+4*jj)\n",
    "    ax4 = f.add_subplot(len(ops),4,4+4*jj)\n",
    "\n",
    "    cmap = plt.get_cmap('cool')\n",
    "    colorsC = []\n",
    "    tcmin  = np.amin(mypixel.t_trp)\n",
    "    tcmax  = np.amax(mypixel.t_trp)\n",
    "    colorsC = cmap((mypixel.t_trp-tcmin)/(tcmax-tcmin))\n",
    "\n",
    "    cmap = plt.get_cmap('hot')\n",
    "    colorsR = []\n",
    "    trmin  = np.amin(mypixel.t_rel)\n",
    "    trmax  = np.amax(mypixel.t_rel)\n",
    "    colorsR = cmap((mypixel.t_rel-trmin)/(trmax-trmin))\n",
    "\n",
    "    maxes = []\n",
    "    for j in range(0,len(mypixel.cmin),step):\n",
    "        maxes.append(np.amax(op[j,:]))\n",
    "        ax2.plot(times,op[j,:],color=colorsC[j])\n",
    "        ax4.plot(times,op[j,:],color=colorsR[j])\n",
    "\n",
    "    ax2.plot(times,np.sum(op,axis=0)/op.shape[0],c='black',linewidth=5)\n",
    "    ax4.plot(times,np.sum(op,axis=0)/op.shape[0],c='black',linewidth=5)\n",
    "\n",
    "    ax1.scatter(mypixel.cmin[::step],maxes,c=colorsC[::step],s=35)\n",
    "    ax1.plot([0,80000],[1-1/(1+cfacmin),1-1/(1.+cfacmin)],'--',c='r')        \n",
    "    ax1.plot([0,80000],[1-1/(1+cfacmax),1-1/(1.+cfacmax)],'--',c='r')        \n",
    "    \n",
    "    ax3.scatter(mypixel.cmin[::step],maxes,c=colorsR[::step],s=35)\n",
    "    ax3.plot([0,80000],[1-1/(1+cfacmin),1-1/(1.+cfacmin)],'--',c='r')        \n",
    "    ax3.plot([0,80000],[1-1/(1+cfacmax),1-1/(1.+cfacmax)],'--',c='r')        \n",
    "\n",
    "    ax2.plot(times,np.repeat([1-1/(1+cfacmin)],len(times)),'--',c='r')\n",
    "    ax2.plot(times,np.repeat([1-1/(1+cfacmax)],len(times)),'--',c='r')\n",
    "    ax4.plot(times,np.repeat([1-1/(1+cfacmin)],len(times)),'--',c='r')\n",
    "    ax4.plot(times,np.repeat([1-1/(1+cfacmax)],len(times)),'--',c='r')\n",
    "\n",
    "    tend = ramps[jj].rtime[-1] \n",
    "    tt = tend + tafter\n",
    "    states = np.random.random_sample(size=len(mypixel.cmin))  < np.squeeze(mypixel.follow_occ_prob(ramps[jj],np.array([tend])))\n",
    "   \n",
    "    fx = np.zeros_like(tafter)\n",
    "    for k in range(fx.size):\n",
    "        fx[k] = np.sum(np.exp(-tafter[k]/mypixel.t_rel[states]))\n",
    "    fx = fx/len(mypixel.t_trp)\n",
    "    ax2.plot(tt,fx,'--',c='#ee8910',linewidth=3)       \n",
    "    ax4.plot(tt,fx,'--',c='#ee8910',linewidth=3)       \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#Run the pixel through each ramp\n",
    "#and get the persistence accumulated charge\n",
    "\n",
    "time0 = time.process_time()\n",
    "ramps   = [myramp1,myramp2,myramp3,myramp4]\n",
    "\n",
    "times  = np.arange(0,7000,10)\n",
    "charges = []\n",
    "totfills = []\n",
    "\n",
    "for ramp in ramps:\n",
    "    mypixel.reset()\n",
    "    mypixel.end_ramp_occ(ramp)\n",
    "    totfills.append(mypixel.totfill)\n",
    "    print('Total number of filled traps','%.0f' %totfills[-1][-1])\n",
    "    charges.append(mypixel.get_trapped_charge(times))\n",
    "\n",
    "    \n",
    "el_t = (time.process_time() - time0)/60\n",
    "print('Elapsed_time (min)',el_t)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#Plot the evolution of the number of filled traps\n",
    "plt.close(\"all\")\n",
    "for z in zip(ramps,totfills):\n",
    "    plt.plot(z[0].rtime[1:],z[1]/ntraps,label=('%.0f' %z[0].rate))\n",
    "    \n",
    "plt.legend(loc=2)\n",
    "plt.ylabel('Fraction of filled traps')\n",
    "plt.xlabel('Time (s)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "plt.close(\"all\")\n",
    "\n",
    "\n",
    "nrows = len(ramps)\n",
    "\n",
    "f =  plt.figure()\n",
    "\n",
    "ax1=f.add_subplot(121)\n",
    "ax2=f.add_subplot(122)\n",
    "\n",
    "for i,z in enumerate(zip(ramps,charges,totfills)):\n",
    "\n",
    "    ramp = z[0]\n",
    "    charge = z[1]\n",
    "    totfill_end = z[2][-1]\n",
    "    #print('%.0f' %ramp.rate)\n",
    "\n",
    "    ############\n",
    "    #Charge plot\n",
    "    ############\n",
    "\n",
    "    x = ax1.plot(times,charge)\n",
    "    color=x[0].get_color()\n",
    "#   ax1.plot(times,np.repeat(totfill_end,len(times)),'--',color=color)\n",
    "\n",
    "    #Compare to power-law decay by making them agree at time t0 (current goes like t^-gamma)\n",
    "    gamma = 2.75\n",
    "    t0 = 1000\n",
    "    tnorm = 1000\n",
    "\n",
    "    ii     = np.argmin(np.abs(times-tnorm))\n",
    "    tnormh = times[ii]    \n",
    "    Qnorm  = charge[ii]\n",
    "    Qplconst = Qnorm/(tnormh+t0)**(1-gamma)\n",
    "\n",
    "    \n",
    "    \n",
    "#    Apl   = charge[ii]*(gamma-1)/((times[ii]+t0)**(1-gamma) - t0**(1-gamma))\n",
    "#    pldecay = -1.* Apl/(1-gamma) * ((times+t0)**(1-gamma)-t0**(1-gamma))  \n",
    "#    pldecay = mp-pldecay\n",
    "    \n",
    "    ax1.plot(times,Qplconst*(times+t0)**(1-gamma),'-.',color=color)\n",
    "\n",
    "\n",
    "    ############\n",
    "    #Current plot\n",
    "    ############\n",
    "\n",
    "    # Get a count rate\n",
    "    sml  = 10\n",
    "    dcdt = -(charge[1::sml]-charge[:-1:sml])/(times[1::sml]-times[:-1:sml])\n",
    "    dtcen = 0.5*(times[1::sml]+times[:-1:sml])\n",
    "\n",
    "    ii    = np.argmin(np.abs(dtcen-tnorm))\n",
    "\n",
    "    tnormh = dtcen[ii]    \n",
    "    Cnorm  = dcdt[ii]\n",
    "    Cplconst = Cnorm/(tnormh+t0)**(-gamma)\n",
    "    ax2.plot(dtcen,dcdt,color=color,label=(('%.0f' %ramp.rate) + r'$\\,e^-\\mathrm{s^{-1}}$'))\n",
    "    ax2.plot(dtcen,Cplconst*dtcen**(-gamma),'-.',color=color)\n",
    "\n",
    "\n",
    "ax1.set_xlabel(\"Time since the end of the exposure ramp\")\n",
    "ax1.set_ylabel('Trapped charge')\n",
    "ax1.set_yscale('log')\n",
    "ax1.set_xscale('log')\n",
    "ax2.set_xlabel(\"Time since the end of the exposure ramp\")\n",
    "ax2.set_ylabel('Current'+ r'$\\,e^-\\mathrm{s^{-1}}$')\n",
    "ax2.set_xlim(100,times[-1])\n",
    "ax2.set_yscale('log')\n",
    "ax2.set_xscale('log')\n",
    "\n",
    "plt.legend()\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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